- Molecular Biology and Genetics
- Immunology and Stem Cell Biology
- Protein Engineering
- Systems Biology
- Metabolic Engineering
- Computational Biology
· Prof. Hatice Gülen
“Development of New Cultivars with High Frost Tolerance and Elucidating Candidate Genes Responsible for Protein and Carbohydrate Metabolisms in Frost Stress of Olive”
The present project aims to determine frost tolerant olive species by genotype screening from a wide genetic population in order to spread the cultivation of tolerant olive species in areas with critically low winter temperatures. Studies in hybrid species may lead to development of new cultivars with high frost tolerance as well characterization of new molecular markers for breeding. In addition, apart from previous studies aiming at elucidating molecular mechanism of frost tolerance in olive, the present project will enable detailed determination of genes with altered expressions at the transcriptome level.
The project is supported by TUBITAK (TOVAG 1003 Project, 2017-2020).
Institutions: Istanbul Bilgi University - Istanbul (Project Coordinator), Olive Research Institute – İzmir, Eskisehir Osmangazi University – Eskisehir, Uludag University – Bursa, TUBITAK-MAM-GMBE, Gebze/Kocaeli.
· Faculty Member, PhD. Yuk Yin Ng
Project title: Synthesis and Activity Studies of New Heterocyclic Molecules Which Can be Anti-cancer Agents or GSK-3ß Inhibitors
Funding: TUBITAK 1001-117Z307
Project duration : 01/11/2017-01/11/2019
Project title: Ağır Kombine İmmün Yetersizlik Hastalarında Ekzom Dizileme ile Yeni Aday Genleri Keşfi
Funding: BILGI BAP
Project duration: 01/12/2016-01/12/2017
Duty: Principal Investigator
Project title: - Çocukluk Çağı İmmün Yetersizliklerde Lenfosit Gelişiminin Değerlendirilebilmesi İçin Normal TREC/KREC Seviyelerinin Belirlenmesi
Funding: BILGI BAP
Project duration: 01/06/2018-01/12/2019
Duty: Principal Investigator
· Faculty Member, PhD. Ozgur Gul
Project Title: Analysis of ethanol production using consolidated bioprocessing of cellulose using Kluyveromyces marxianus displaying cellulosome
Support: TUBITAK 3501 215Z299
Role: Principle Investigator
Project Title: Paper-based piezoresistive MEMS biosensor to detect aflatoksin chemical
Support: TUBITAK 3501 117E236
· Faculty Member, PhD. Hilal Taymaz Nikerel
My research interest mainly includes understanding the function and regulation of complex biological processes using systems biology approaches. Quantification of the cellular mechanisms is crucial to engineer the microorganism and to optimize the growth conditions, taking physiological, kinetic and thermodynamic constraints into account. So far I have focused on metabolomics, fluxomics, transcriptomics and their non-linear interactions within the cell, to understand highly complex systems. Such different levels of –omics data were integrated through genome-wide models to understand the effect of various interventions (e.g. drug, substrate perturbation(s), genetic modifications) on the metabolism. My current work focuses on to further extend and incorporate these tools to other –omic levels, covering interactomics and/or proteomics. Such an attempt requires theoretical methods, e.g. building predictive mathematical models, in addition to the experimental efforts, using multidisciplinary advances.
TUBITAK 2232 (Proje No. 114C062), Project Title: Investigation of intracellular effects of chemotherapeutic drugs using systems biology approaches and genome-wide models, 2014-2016 (Principal Investigator).
NCSB (Netherlands Consortium for Systems Biology) - NBIC (Netherlands Bioinformatics Centre), Project Title: Computational modeling approaches and fluxomics, 2010-2012 (Postdoctoral Researcher).
· Faculty Member, PhD. Ozlem Ulucan Acan
Dr. Ulucan uses molecular modeling techniques to study structure, dynamics, energetics and interactions of biomolecules. Structural and energetic aspects of protein-protein and protein-small molecule complexes together with computer-aided drug design consist of an important part of her research. Additionally, she is interested in genomic and transcriptomic data analysis and disease subtyping using statistical learning approaches.
Project title: Quantifying allosteric effects in PDK1
This is a joint project with Prof. Dr. Volkhard Helms (Center for Bioinformatics, Saarland University) and Dr. Matthias Engel (Pharmaceutical and Medicinal Chemistry, Saarland University).
Project title: Anticancer drug design by targeting repressive immune checkpoints
In this project we employ computational methods to target the interaction between negative immune check point receptors and their ligands by designing small molecules that bind effectively and specifically to the immune checkpoint ligands.
Project title: Subtyping Gastric Cancer
Gastric cancer is the fifth most common malignancy and the third leading cause of cancer death worldwide (723,000 deaths, 8.8% of the total). Like other types of cancer, gastric cancer is a highly heterogeneous malignancy that arises from a multitude of genetic and epigenetic alterations. In this project, we are aiming at finding the subtypes of gastric cancer, which is important to better identify effective therapeutic strategies.